Post-doctoral Position: Neural Implementation of

vor 2 Monaten


Geneve, Schweiz Department of Comparative Language Science Vollzeit

Department of Comparative Language Science_
**Post-Doctoral Position: Neural Implementation of Hierarchy**

The NCCR is a Swiss National Center of Competence in Research with the goal of creating a new discipline, Evolutionary Language Science, that targets the past and future of language. The center consists of leading scientists from traditionally separated academic domains, which allows us to harvest the diverse expertise from the humanities, social sciences, computational sciences, natural sciences and medicine towards a broadscale interdisciplinary collaboration.

The project focuses on the question of neurobiological implementation of hierarchical linguistic representations, posed from a broad perspective of neural hierarchy across cognitive domains and species.

Solid programming skills and knowledge of statistics will be considered a strong advantage. Experience with human neuroimaging is a plus. Excellent oral and written communication in English is required.

The NCCR Evolving Language places great emphasis on teamwork and multidisciplinary perspectives. Strong communication and collaboration skills are essential.

**What we offer**: UZH offers excellent opportunities and strong support for career development. Salaries are internationally competitive: Salary ranges, guidelines for employees in SNF-funded projects (PDF).

The post-doctoral position is limited to two years with a potential extension by agreement.

**Place of work**: The position is primarily located at the Department of Comparative Language Science at the University of Zurich (UZH) but the NCCR supports exchange with other departments in its network, particularly with the neuroscience community at the University of Geneva.

**Start of employment**: July 2024 or soon thereafter.
- a detailed CV
- the transcripts from your previous studies and/or copy of highest academic diploma
- (if available) a maximum two samples of your own work (e.g., masters thesis, scientific essays / student research papers / publications; one can send the full pdf or provide a link to the resources if available online)



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